Mixed state on a sparsely encoded associative memory model

被引:9
|
作者
Kimoto, T
Okada, M
机构
[1] Oita Natl Coll Technol, Dept Elect Engn, Oita 8700152, Japan
[2] Japan Sci & Technol Corp, Kawato Dynam Brain Project, Seika, Kyoto 6190288, Japan
关键词
D O I
10.1007/s004220100263
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
We analyzed symmetric mixed states corresponding to the so-called concept formation on a sparsely encoded associative memory model with 0-1 neurons. Three types of mixed states - OR, AND, and a majority decision - are described as typical examples. Each element of the OR mixed state is composed of corresponding memory pattern elements by means of the OR operation. The other two types are similarly defined. By analyzing their equilibrium properties through self-consistent signal-to-noise analysis and computer simulation, we found that the storage capacity of the OR mixed state diverges in a sparse limit, but that the other states do not diverge. In addition, we found that the optimal threshold values, which maximize the storage capacity for the memory pattern and the OR mixed state, coincide with each other in the spare limit. We conclude that the OR mixed state is a reasonable representative of mixed state in the sparse limit.
引用
收藏
页码:319 / 325
页数:7
相关论文
共 50 条
  • [31] Stability and bifurcations in an associative memory model
    Thomas, CM
    Gibson, WG
    Robinson, J
    NEURAL NETWORKS, 1996, 9 (01) : 53 - 66
  • [32] A cascade associative memory model with a hierarchical memory structure
    Hirahara, M
    Oka, N
    Kindo, T
    NEURAL NETWORKS, 2000, 13 (01) : 41 - 50
  • [33] Mixed mode VLSI implementation of a neural associative memory
    Heittmann, A
    Ruckert, U
    PROCEEDINGS OF THE SEVENTH INTERNATIONAL CONFERENCE ON MICROELECTRONICS FOR NEURAL, FUZZY AND BIO-INSPIRED SYSTEMS, MICORNEURO'99, 1999, : 299 - 306
  • [34] The model of associative memory of intelligent system
    Gavrilov, AV
    KORUS-2002: 6TH RUSSIAN-KOREAN INTERNATIONAL SYMPOSIUM ON SCIENCE AND TECHNOLOGY, PROCEEDINGS, 2002, : 174 - 177
  • [35] CONVERGENCE RESULTS IN AN ASSOCIATIVE MEMORY MODEL
    KOMLOS, J
    PATURI, R
    NEURAL NETWORKS, 1988, 1 (03) : 239 - 250
  • [36] HOLOGRAPHIC MODEL FOR ASSOCIATIVE MEMORY CHAINS
    WESS, O
    RODER, U
    BIOLOGICAL CYBERNETICS, 1977, 27 (02) : 89 - 98
  • [37] Neural Associative Memory with Finite State Technology
    Gnanambigai, D.
    Dinadayalan, P.
    Kumari, R. Vasantha
    INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2008, 8 (10): : 295 - 300
  • [38] Facial image associative memory model
    Tepvorachai, Gorn
    Papachristou, Chris
    NASA/ESA CONFERENCE ON ADAPTIVE HARDWARE AND SYSTEMS, PROCEEDINGS, 2007, : 233 - +
  • [39] Structured connectivity in an associative memory model
    Turvey, S
    Hunt, S
    Frank, R
    Adams, R
    Davey, N
    2004 2ND INTERNATIONAL IEEE CONFERENCE INTELLIGENT SYSTEMS, VOLS 1 AND 2, PROCEEDINGS, 2004, : 94 - 99
  • [40] A New Model of a Fuzzy Associative Memory
    Perfilieva, Irina
    INTEGRATED UNCERTAINTY IN KNOWLEDGE MODELLING AND DECISION MAKING, IUKM 2015, 2015, 9376 : 32 - 42